A Survey on Techniques of Image Denoising

Till date the image denoising has remained a fundamental problem in the field of image processing. Image denoising is essential task in Medical applications where the complexity of noise is predominant and the contrast of medical images are more over low due to various image acquisition. Noise is often deteriorated the medical images because of various sources of interferences that affect measurement system in an imaging system. In Medical images operations of object recognization and feature extraction play a very important role. Image acquired should be free from noise for making such decisions. But this is pretty strainful job because fine details to diagnostic information must not be destroyed during noise removal. There have been several algorithms published as of date and each approach has its advantages and disadvantages. This paper represents review of some significant work in the area of image denoising. This is an initiative to study and analyze different variants of denoising techniques to improve their performance and visual quality. This paper includes a detailed survey that has been carried out on various image denoising approaches and their performances on medical images were analyzed.